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result(s) for
"Reading Computer-assisted instruction."
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E-program based on mind maps in developing some reading comprehension skills : (Hamlet and Oliver Twist)
by
Obaid, Reem Mohuy Aldeen author
in
English language Reading Study and teaching Computer-assisted instruction
,
Content area reading Study and teaching Computer-assisted instruction
,
Reading comprehension Study and teaching Computer-assisted instruction
2019
Learning to Read in a Digital World
2018
With digital screens becoming increasingly ubiquitous in the lives of children, from their homes to their classrooms, understanding the influence of these technologies on the ways children read takes on great importance. The aim of this edited volume is to examine how advances in technology are shaping children's reading skills and development. The chapters in this volume explore the influence of various aspects of digital texts, the child's cognitive and motivational skills, and the child's environment on reading development in digital contexts. Each chapter draws upon the expertise of scientists and researchers across countries and disciplines to review what is currently known about the influence of technology on reading, how it is studied, and to offer new insights and research directions based on recent work.
Developing reading comprehension
by
Clarke, Paula J
,
Chesher, Dean
in
EDUCATION
,
Reading comprehension
,
Study and teaching (Elementary)
2014,2013
\"Presents cutting-edge, evidence-based interventions for dealing with specific difficulties of reading comprehension in children aged 7-11. An in-depth introduction to the 'poor comprehender profile', which describes children who despite being fluent readers have difficulty extracting meaning from text. Sets out a range of practical interventions for improving reading skills in this group - along with comprehensive guidance on assessment and monitoring, and insightful accounts of professionals' experience in delivering the techniques described. Includes an overview of psychological theories of reading comprehension, evaluating their practical applicability. \"--
Rethinking early literacies : reading and rewriting worlds
\"Rethinking Early Literacies theorizes literacy for young children in a way that invites readers to rethink theoretical constructs framing understandings of literacy in contemporary society. Examples from a variety of sites, involving diverse children ages 3-8 prompt reconceptualizations of children's literate identities, challenge how diverse language learners are defined, and revise and expand the notion of texts to encompass digital tools and popular culture. Issues influencing early childhood education and how young children are positioned given trans/national social and political contexts are considered throughout\" -- Provided by pubisher.
Trends, Research Issues and Applications of Artificial Intelligence in Language Education
by
Xieling Chen
,
Gary Cheng
,
Xinyi Huang
in
Artificial Intelligence
,
Audio Equipment
,
automated writing evaluation
2023
Artificial Intelligence (AI) plays an increasingly important role in language education; however, the trends, research issues, and applications of AI in language learning remain largely under-investigated. Accordingly, the present paper, using bibliometric analysis, investigates these issues via a review of 516 papers published between 2000 and 2019, focusing on how AI was integrated into language education. Findings revealed that the frequency of studies on AI-enhanced language education increased over the period. The USA and Arizona State University were the most active country and institution, respectively. The 10 most popular topics were: (1) automated writing evaluation; (2) intelligent tutoring systems (ITS) for reading and writing; (3) automated error detection; (4) computer-mediated communication; (5) personalized systems for language learning; (6) natural language and vocabulary learning; (7) web resources and web-based systems for language learning; (8) ITS for writing in English for specific purposes; (9) intelligent tutoring and assessment systems for pronunciation and speech training; and (10) affective states and emotions. The results also indicated that AI was frequently used to assist students in learning writing, reading, vocabulary, grammar, speaking, and listening. Natural language processing, automated speech recognition, and learner profiling were commonly applied to develop automated writing evaluation, personalized learning, and intelligent tutoring systems.
Journal Article
Computer-Assisted Remedial Reading Intervention for School Beginners at Risk for Reading Disability
by
Lerkkanen, Marja-Kristiina
,
Saine, Nina L.
,
Tolvanen, Asko
in
Achievement
,
At risk
,
At risk populations
2011
The aim of the longitudinal study was to investigate whether a computer application designed for remedial reading training can enhance letter knowledge, reading accuracy, fluency, and spelling of at-risk children. The participants, 7-year-old Finnish school beginners (N = 166), were assigned to 1 of 3 groups: (a) regular remedial reading intervention (n = 25), (b) computer-assessed reading intervention (n = 25), and (c) main-stream reading instruction (n = 116). Based on the results, computer-assisted remedial reading intervention was highly beneficial, whereas regular type of intervention was less successful. The results indicated that at-risk children require computer-based letter-name and letter-sound training to acquire adequate decoding and spelling skills, and to reach the level of their non-at-risk peers.
Journal Article
Computerized Speechreading Training for Deaf Children: A Randomized Controlled Trial
by
Pimperton, Hannah
,
Kyle, Fiona
,
Hulme, Charles
in
Assistive Technology
,
Child
,
Child Language
2019
Purpose: We developed and evaluated in a randomized controlled trial a computerized speechreading training program to determine (a) whether it is possible to train speechreading in deaf children and (b) whether speechreading training results in improvements in phonological and reading skills. Previous studies indicate a relationship between speechreading and reading skill and further suggest this relationship may be mediated by improved phonological representations. This is important since many deaf children find learning to read to be very challenging. Method: Sixty-six deaf 5- to 7-year-olds were randomized into speechreading and maths training arms. Each training program was composed of a 10-min sessions a day, 4 days a week for 12 weeks. Children were assessed on a battery of language and literacy measures before training, immediately after training, and 3 months and 11 months after training. Results: We found no significant benefits for participants who completed the speechreading training, compared to those who completed the maths training, on the speechreading primary outcome measure. However, significantly greater gains were observed in the speechreading training group on one of the secondary measures of speechreading. There was also some evidence of beneficial effects of the speechreading training on phonological representations; however, these effects were weaker. No benefits were seen to word reading. Conclusions: Speechreading skill is trainable in deaf children. However, to support early reading, training may need to be longer or embedded in a broader literacy program. Nevertheless, a training tool that can improve speechreading is likely to be of great interest to professionals working with deaf children.
Journal Article